Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system
Here we present the online meteorology and chemistry adjoint and tangent linear model, WRFPLUS-Chem (Weather Research and Forecasting plus chemistry), which incorporates modules to treat boundary layer mixing, emission, aging, dry deposition, and advection of black carbon aerosol....
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Format: | Article |
Language: | English |
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Copernicus Publications
2015-06-01
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Series: | Geoscientific Model Development |
Online Access: | http://www.geosci-model-dev.net/8/1857/2015/gmd-8-1857-2015.pdf |
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author | J. J. Guerrette D. K. Henze |
author_facet | J. J. Guerrette D. K. Henze |
author_sort | J. J. Guerrette |
collection | DOAJ |
description | Here we present the online meteorology and chemistry adjoint and
tangent linear model, WRFPLUS-Chem (Weather Research and Forecasting plus chemistry), which incorporates modules to
treat boundary layer mixing, emission, aging, dry deposition, and
advection of black carbon aerosol. We also develop land surface and
surface layer adjoints to account for coupling between radiation and
vertical mixing. Model performance is verified against finite
difference derivative approximations. A second-order checkpointing
scheme is created to reduce computational costs and enable simulations
longer than 6 h. The adjoint is coupled to WRFDA-Chem, in order
to conduct a sensitivity study of anthropogenic and biomass burning
sources throughout California during the 2008 Arctic Research of the
Composition of the Troposphere from Aircraft and Satellites (ARCTAS)
field campaign. A cost-function weighting scheme was devised to
reduce the impact of statistically insignificant residual errors in future
inverse modeling studies.
Results of the sensitivity study show that, for this domain
and time period, anthropogenic emissions are overpredicted, while
wildfire emission error signs vary spatially. We consider the diurnal
variation in emission sensitivities to determine at what time sources
should be scaled up or down. Also, adjoint sensitivities for two
choices of land surface model (LSM) indicate that emission inversion results
would be sensitive to forward model configuration. The tools
described here are the first step in conducting four-dimensional
variational data assimilation in a coupled meteorology–chemistry
model, which will potentially provide new constraints on aerosol
precursor emissions and their distributions. Such analyses will be
invaluable to assessments of particulate matter health and climate
impacts. |
first_indexed | 2024-12-12T08:42:46Z |
format | Article |
id | doaj.art-c6e1ce89b3094306ae56bc417ca4aa75 |
institution | Directory Open Access Journal |
issn | 1991-959X 1991-9603 |
language | English |
last_indexed | 2024-12-12T08:42:46Z |
publishDate | 2015-06-01 |
publisher | Copernicus Publications |
record_format | Article |
series | Geoscientific Model Development |
spelling | doaj.art-c6e1ce89b3094306ae56bc417ca4aa752022-12-22T00:30:43ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032015-06-01861857187610.5194/gmd-8-1857-2015Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation systemJ. J. Guerrette0D. K. Henze1Department of Mechanical Engineering, University of Colorado, Boulder, CO, 80309, USADepartment of Mechanical Engineering, University of Colorado, Boulder, CO, 80309, USAHere we present the online meteorology and chemistry adjoint and tangent linear model, WRFPLUS-Chem (Weather Research and Forecasting plus chemistry), which incorporates modules to treat boundary layer mixing, emission, aging, dry deposition, and advection of black carbon aerosol. We also develop land surface and surface layer adjoints to account for coupling between radiation and vertical mixing. Model performance is verified against finite difference derivative approximations. A second-order checkpointing scheme is created to reduce computational costs and enable simulations longer than 6 h. The adjoint is coupled to WRFDA-Chem, in order to conduct a sensitivity study of anthropogenic and biomass burning sources throughout California during the 2008 Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) field campaign. A cost-function weighting scheme was devised to reduce the impact of statistically insignificant residual errors in future inverse modeling studies. Results of the sensitivity study show that, for this domain and time period, anthropogenic emissions are overpredicted, while wildfire emission error signs vary spatially. We consider the diurnal variation in emission sensitivities to determine at what time sources should be scaled up or down. Also, adjoint sensitivities for two choices of land surface model (LSM) indicate that emission inversion results would be sensitive to forward model configuration. The tools described here are the first step in conducting four-dimensional variational data assimilation in a coupled meteorology–chemistry model, which will potentially provide new constraints on aerosol precursor emissions and their distributions. Such analyses will be invaluable to assessments of particulate matter health and climate impacts.http://www.geosci-model-dev.net/8/1857/2015/gmd-8-1857-2015.pdf |
spellingShingle | J. J. Guerrette D. K. Henze Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system Geoscientific Model Development |
title | Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system |
title_full | Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system |
title_fullStr | Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system |
title_full_unstemmed | Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system |
title_short | Development and application of the WRFPLUS-Chem online chemistry adjoint and WRFDA-Chem assimilation system |
title_sort | development and application of the wrfplus chem online chemistry adjoint and wrfda chem assimilation system |
url | http://www.geosci-model-dev.net/8/1857/2015/gmd-8-1857-2015.pdf |
work_keys_str_mv | AT jjguerrette developmentandapplicationofthewrfpluschemonlinechemistryadjointandwrfdachemassimilationsystem AT dkhenze developmentandapplicationofthewrfpluschemonlinechemistryadjointandwrfdachemassimilationsystem |